Paper Info
Title
Web document compaction by compressing URI references in RDF and OWL data
Abstract
The enormous web documents in WWW have made it dramatically difficult to retrieve meaningful information which we really want to find out. The Semantic Web technology has been considered to solve the problem and RDF and OWL have emerged as standards for the Semantic Web documents by W3C. The RDF/XML, an XML representation of RDF and OWL, documents are very large as compared to their intrinsic data size because of their inherent verbosity from XML. These large-size RDF/XML documents are inefficient in data exchanging and archiving. In this paper, we propose an efficient method for compressing URI references which may cover very large portions of RDF/XML documents. Our compression method compresses URI references using two-level dictionary-based encoding: one for compressing URI parts of URI references and the other for compressing whole URI references. The performance evaluation using real RDF/XML documents shows that our compression method significantly reduces the size of the RDF/XML documents.
Year
DOI
Venue
2008
10.1145/1352793.1352827
ICUIMC
Keywords
Field
DocType
real rdf,owl data,compressing uri reference,whole uri reference,compressing uri part,compression method,uri reference,efficient method,xml representation,web document compaction,xml document,large-size rdf,compression,data exchange,owl,semantic web,rdf
XML Base,World Wide Web,Plain Old XML,Efficient XML Interchange,Information retrieval,Computer science,XML validation,QName,RDF/XML,RDF Schema,XML Schema Editor
Conference
Citations 
PageRank 
References 
2
0.40
5
Authors
4
Name
Order
Citations
PageRank
Kisung Lee134227.05
Jin Hyun Son221718.21
Gunwoo Kim3927.13
Myoung Ho Kim41040273.40